Oliver von Dzengelevski

Last Name

von Dzengelevski

First Name

Oliver

ORCID

0000-0002-5713-956X

Organisational unit

09501 - Netland, Torbjörn / Netland, Torbjörn

Show all metadata

Search Results

Publications 1 - 10 of 14

Tracing The Impacts Of Rare Earth Element Shocks On High-Tech Industry Performance And Relocation
von Dzengelevski, Oliver; Netland, Torbjörn (2017)
This paper investigates the effect of rare earth element (REE) price shocks on high-tech industry performance and relocation. For this, methods of time series econometrics are employed to analyse data from the first REE crisis 2010-2012. We focus on the high-tech industries of the US, China and Japan. Evidence is presented for adverse effects in the US high-tech industry, positive effects in the Chinese high-tech industry and resource shock driven foreign direct investment into China. These findings suggests REE resource driven and efficiency seeking relocations of high-tech operations to China.
Dynamic capabilities in micro and small enterprises: Learning from developing countries
Arellano Caro, Maricela Connie; De Cuyper, Lien; von Dzengelevski, Oliver; et al. (2019)
The capability profiles of global production networks: an empirical typology to identify opportunities for network reconfiguration and calibration
von Dzengelevski, Oliver; Netland, Torbjørn; Wenking, Marian; et al. (2025)
Production Planning & Control
This paper develops an empirically-grounded typology of global production networks based on their capability profiles, which allows for the identification of managerial steps to improve a production network’s performance. Clustering our survey data on network capabilities, we find five distinct types of networks: (1) externally focused networks, (2) unfocused networks, (3) low-capability networks, (4) internally focused networks and (5) all-round networks. Based on our statistical analyses of performance differences between clusters and within clusters, we suggest two types of network improvement strategies: Reconfiguration, namely, the change to a structurally similar but higher-performing network type; and calibration, that is, targeted capability adjustments within a given network type. On a conceptual level, we deviate from the atomistic approach taken by network typologies predominant in the literature, reducing complexity not by decomposing networks into their individual subunits but by categorizing their capability profiles and analysing their associated improvement potential.
Comparing human-made and AI-generated teaching videos: An experimental study on learning effects
Netland, Torbjörn; von Dzengelevski, Oliver; Tesch, Katalin; et al. (2025)
Computers & Education
In the age of generative AI, can teaching videos be efficiently and effectively generated by large language models? In this study, the authors used generative AI tools to develop four short teaching videos for a management course and then compared them with human-generated videos on the same subjects in an online experiment. In an across-subject experimental design, 447 participants completed two treatment conditions presenting different mixes of AI-generated and human-made videos. The participants were asked to rate their learning experiences after each video and had their learning outcomes tested in a multiple-choice exam at the end of the session (N = 1788 video treatments). The findings show that human-generated videos provided a statistically significant but small advantage to participants in terms of learning experience, indicating that the participants still prefer to be taught by human teachers. However, a comparison of exam results between the experimental groups implies that the participants eventually acquired knowledge about the content to a similar degree. Given these findings and the ease with which AI-generated teaching videos can be created, this study concludes that AI-generated teaching videos will likely proliferate.
Strategic Investment in Global Production Networks
von Dzengelevski, Oliver (2021)
Teaching Operations Management With Virtual Reality: Bringing the Factory to the Students
Netland, Torbjörn; von Dzengelevski, Oliver; Maghazei, Omid; et al. (2020)
Journal of Management Education
Recent developments in virtual reality (VR) technologies offer new opportunities for teaching management courses. The objective of this article is to present one way to use VR to teach operations management. In partnership with a global manufacturer, we integrate virtual environments of the manufacturers’ real factories in a course assignment. The assignment was used in two graduate operations management courses. Theoretically, we draw on the concept of immersion. To evaluate the effects of VR on students’ learning experiences, we use focus groups and a survey. We find that VR can be implemented cost-efficiently in operations management courses and present one way to do it. Considering effectiveness, we find that students generally perceive that VR improves their learning experience. The presented VR assignment provides students a guided discovery learning, which is active. However, we also find several limitations with the current technology, which can be overcome in future implementations. Teachers can use the idea and findings presented here to innovate their own teaching by the means of readily available and low-cost VR technologies.
Digital transformation in developing countries: the role of foreign competition and government support
Plekhanov, Dmitry; von Dzengelevski, Oliver; Roud, Vitaliy; et al. (2022)
When should global manufacturers invest in production network upgrades? An empirical investigation
von Dzengelevski, Oliver; Wenking, Marian; Netland, Torbjörn; et al. (2020)
International Journal of Operations & Production Management
Purpose In this paper, the authors empirically investigate under which conditions production network management is effective to improve manufacturers' financial performance. For this, the authors explore contingencies between production networks and the three key dimensions of organizational environment. Design/methodology/approach A survey with senior managers was conducted for this research. The authors used a hierarchical regression analysis to test interaction effects and draw on follow-up interviews with chief operating officers (COOs) and senior managers to elaborate and explain the found associations. Findings Results indicate that manufacturers' financial performance is only associated with their network capability level if they operate in hostile competitive environments. In moderate competitive environments, improvements in the network capability level are not associated with greater financial performance. In particularly munificent environments, such production network upgrades are even associated with the opposite effect. Practical implications Results highlight in which organizational contexts upgrading production networks has positive performance implications and under which circumstances it is ineffective or even counterproductive. Originality/value The authors draw on unique survey data to add quantitative evidence to the predominantly conceptual and qualitative literature on global production networks. This is also one of the first studies to connect the topics of production networks and organizational environment. 2020 Emerald Publishing Limited.
Linking production geography and financial performance
von Dzengelevski, Oliver; Netland, Torbjørn H.; Vereecke, Ann; et al. (2024)
International Journal of Operations & Production Management
PurposeWhen is manufacturing in high-cost environments and more profitable for multinational manufacturers and when in low-cost environments? While the literature offers many cues to answer this question, too little empirical research directly addresses this. In this study, we quantitatively and empirically investigate the financial effect of companies' production footprint in low-cost and high-cost environments for different types of production networks.Design/methodology/approachUsing the data of 770 multinational manufacturing companies, we analyze the relationship between production footprints and profitability during four calendar semesters in 2018 and 2019 (N = 2,940), investigating the moderating role of companies' production network type.FindingsWe find that companies with networks distinguished by both high levels of product complexity and process sophistication profit the most from producing to a greater extent in high-cost countries. For these companies, shifting production to low-cost countries would be associated with negative performance implications.Practical implicationsOur findings suggest that the production geography of companies should be attuned to their network type, as defined by the companies' process sophistication and product complexity. Manufacturing in low-cost countries is not always the best choice, as doing so can adversely affect profits if the products are highly innovative and the production processes are complex.Originality/valueWe contribute to the scarce empirical literature on managing global production networks and provide a data-driven analysis that contributes to answering some of the enduring questions in this critical area.
Effect of lean implementation on team psychological safety and learning
Fenner, Sophie V.; Arellano, Maricela C.; von Dzengelevski, Oliver; et al. (2023)
International Journal of Operations & Production Management
Purpose Frontline teams are at the centre of lean transformations, but the teams also transform as they implement lean. This study examines these changes and seeks to understand how lean relates to team psychological safety and learning. Design/methodology/approach This research setting is the Romanian division of a leading European energy company. The authors collected team-level audit and survey data, which the authors used to test the effect of lean implementation on team psychological safety and learning. The authors’ team-level data are complemented with qualitative interviews conducted with team members and headquarters leaders. Findings The results of the regression analyses show that leanness is positively associated with team psychological safety, which is in turn positively associated with learning. Thus, this research provides evidence that leanness – mediated by team psychological safety – increases team learning. Practical implications Lean changes team dynamics and learning positively by ensuring and promoting an emotionally sound work environment with clear team structures, an appropriate level of autonomy, and strong leadership. Originality/value This paper contributes evidence of important psychological mechanisms that characterise team-level lean implementation. Particularly, the authors highlight how team psychological safety mediates the relationship between leanness and team learning.

Publications 1 - 10 of 14

Oliver von Dzengelevski

Last Name

First Name

ORCID

Organisational unit

Filters

Search Results